Talking to machines or how i created whisper-talk
(in case you just want the github link without reading the hallucinations of my neural network - here you go) I hate voice memos. Mostly I hate to receive them. You can’t quickly glance over to remember the content of the conversation, the key piece of information you need is hidden in a 3minute voice note. But I recently learned that talking to machines is quite practical. I even tweeted (its forever gonna be tweeting) about talking to an LLM while pooping. Not that I haven’t used the feature before a few times but I never got the hang of it because I like to brain dump but then I want to read the reply (my brain works funny). I’ve even created a bot a while back that would transcribe signal voice memos that I braindumped to it, but it didn’t stick, Until I’ve come across hyprwhspr about a week or two ago. I immediately liked the idea, I’ve done several whisper projects in the past, whisper-rs-cli just this week so I dug into it. I wanted it as lean as possible so I first created a stripped down fork of it and fitted it to my fedora/ubuntu setup. But it was somewhat slowish in python and I’ve just came out of doing whisper-rs-cli so the decision was obvious. I need a rust version. Given that I had a working python version that I liked I thought its gonna be a slightly more straightforward path. It wasn’t. Specially when I went down the path of “lets add real time typing into any app just for giggles” path. Since I’ve done some real(ish) time transcription api experiments before I thought that will also just be an extra half an hour. ...